Cognitive AI, LLM & Quantum Innovation (Onsite, Part Time )

About SAPSOL Technologies
SAPSOL Technologies Inc. is a Process-Centric Cognitive AI and Quantum Company focused on next-generation automation enterprise intelligence and process optimization.

Our Cognitive Innovation Lab in Mississauga develops and deploys applied AI automation agents and quantum optimization frameworks designed to enhance real-world enterprise systems.
We are a team of innovators committed to building scalable cognitive technologies that redefine enterprise performance through AI and Quantum convergence.

We are seeking a part-time onsite intern to join our Cognitive Innovation Lab in Mississauga.

You will work directly with our Founder & CTO on developing AI agents LLM-based workflows automation models and quantum optimization experiments.

This is a contract-to-hire opportunity with potential for increased hours or a full-time role based on performance and results.

The ideal candidate thrives under tight deadlines delivers fast accurate work and demonstrates initiative and problem-solving capability in a high-performance environment.

Key Responsibilities

• Design test and deploy AI and automation workflows using LangChain LangGraph OpenAI APIs and n8n
• Integrate AI and LLM components into existing PHP (Laravel) enterprise systems
• Develop and fine-tune LLMs (e.g. Llama Mistral GPT models) for specific business use cases
• Participate in quantum optimization (QUBO/QAOA) experiments for cost or resource modeling
• Prepare technical documentation prototype summaries and internal research reports
• Support rapid development and testing cycles under tight timelines

Required Skills

• Proficient in Python PHP (Laravel) JavaScript and REST APIs
• Understanding of LLMs Transformers RAG pipelines and prompt engineering
• Experience or familiarity with LangChain LangGraph and AI orchestration tools
• Strong foundation in data handling (Pandas NumPy JSON) and version control (Git)
• Excellent time management communication and analytical skills
• Ability to perform onsite in Mississauga manage multiple priorities and deliver under pressure

Education
Open to students or recent graduates in:

• Computer Science Software Engineering AI/ML Data Science or related disciplines